Training in progress epoch 30

README.md

@@ -15,18 +15,18 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0918
-- Validation Loss: 0.1307
-- Validation Mean Iou: 0.7440
-- Validation Mean Accuracy: 0.8719
-- Validation Overall Accuracy: 0.9635
-- Validation Accuracy Unlabeled: 0.6838
-- Validation Accuracy Objeto Interes: 0.9545
-- Validation Accuracy Agua: 0.9773
-- Validation Iou Unlabeled: 0.4872
-- Validation Iou Objeto Interes: 0.7735
-- Validation Iou Agua: 0.9713
-- Epoch: 29
+- Train Loss: 0.0919
+- Validation Loss: 0.1239
+- Validation Mean Iou: 0.7405
+- Validation Mean Accuracy: 0.8590
+- Validation Overall Accuracy: 0.9641
+- Validation Accuracy Unlabeled: 0.6442
+- Validation Accuracy Objeto Interes: 0.9526
+- Validation Accuracy Agua: 0.9801
+- Validation Iou Unlabeled: 0.4707
+- Validation Iou Objeto Interes: 0.7784
+- Validation Iou Agua: 0.9725
+- Epoch: 30
 
 ## Model description
 
@@ -82,6 +82,7 @@ The following hyperparameters were used during training:
 | 0.0913     | 0.0899          | 0.7685              | 0.8547                   | 0.9701                      | 0.6575                        | 0.9184                             | 0.9883                   | 0.5192                   | 0.8096                        | 0.9768              | 27    |
 | 0.0899     | 0.0984          | 0.7572              | 0.8550                   | 0.9683                      | 0.6393                        | 0.9398                             | 0.9858                   | 0.5015                   | 0.7940                        | 0.9759              | 28    |
 | 0.0918     | 0.1307          | 0.7440              | 0.8719                   | 0.9635                      | 0.6838                        | 0.9545                             | 0.9773                   | 0.4872                   | 0.7735                        | 0.9713              | 29    |
+| 0.0919     | 0.1239          | 0.7405              | 0.8590                   | 0.9641                      | 0.6442                        | 0.9526                             | 0.9801                   | 0.4707                   | 0.7784                        | 0.9725              | 30    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0c1351a10faf4bf2b9786b2663410cadaf83c74a88a6751ea6e4e39fa1b436fe
 size 54991500